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DBMS > Apache Spark (SQL) vs. Microsoft Access

System Properties Comparison Apache Spark (SQL) vs. Microsoft Access

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Our visitors often compare Apache Spark (SQL) and Microsoft Access with PostgreSQL, MySQL and Microsoft SQL Server.

Editorial information provided by DB-Engines
NameApache Spark (SQL)  Xexclude from comparisonMicrosoft Access  Xexclude from comparison
DescriptionApache Spark SQL is a component on top of 'Spark Core' for structured data processingMicrosoft Access combines a backend RDBMS (JET / ACE Engine) with a GUI frontend for data manipulation and queries. infoThe Access frontend is often used for accessing other datasources (DBMS, Excel, etc.)
Primary database modelRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score21.62
Rank#29  Overall
#18  Relational DBMS
Score95.91
Rank#13  Overall
#9  Relational DBMS
Websitespark.apache.org/­sqlwww.microsoft.com/­en-us/­microsoft-365/­access
Technical documentationspark.apache.org/­docs/­latest/­sql-programming-guide.htmldeveloper.microsoft.com/­en-us/­access
DeveloperApache Software FoundationMicrosoft
Initial release20141992
Current release3.5.0 ( 2.13), September 20231902 (16.0.11328.20222), March 2019
License infoCommercial or Open SourceOpen Source infoApache 2.0commercial infoBundled with Microsoft Office
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScalaC++
Server operating systemsLinux
OS X
Windows
Windows infoNot a real database server, but making use of DLLs
Data schemeyesyes
Typing infopredefined data types such as float or dateyesyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.no
Secondary indexesnoyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyes infobut not compliant to any SQL standard
APIs and other access methodsJDBC
ODBC
ADO.NET
DAO
ODBC
OLE DB
Supported programming languagesJava
Python
R
Scala
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Server-side scripts infoStored proceduresnoyes infosince Access 2010 using the ACE-engine
Triggersnoyes infosince Access 2010 using the ACE-engine
Partitioning methods infoMethods for storing different data on different nodesyes, utilizing Spark Corenone
Replication methods infoMethods for redundantly storing data on multiple nodesnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsno
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infobut no files for transaction logging
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes infobut no files for transaction logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlnono infoa simple user-level security was built in till version Access 2003

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More resources
Apache Spark (SQL)Microsoft Access
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